Through artificial intelligence, in the next 30 years, PR and advertising professionals will acquire unprecedented superpowers, including the ability to predict the future. Venture Beat has researched PR agents, distributors, and distributed marketing tools for the role of machine training for the profession.
"Machine training has already helped merchants to make more effective use of customer data," said Jeff Hardison, vice president of Lytics.
"Our data is 80% - 90% more accurate when predicting what will happen in the next 30 days. For three days, we can predict what development dynamics will be within 30 days, "says Saif Adjani, head of Keyhole, an analytical company using Google Tensor Flow machine learning tools.
"Machine training works well with large volumes of data and helps us solve problems of the sort of classification. It also helps us to identify the common elements of the content that is becoming popular ... in general, we see the benefits of machine learning to handle large amounts of data in translation, image recognition and spam protection "- Steve Ryson, Director BuzzSumo, which allows the user to rate the content's popularity.
"With the help of machine training, TrendKite can make analyzes and recommendations based on a larger amount of data than anyone can do. This allows us, for example, to separate free media channels from other content types so we can better rely on PR's impact on business, "says AirPR co-founder Sharam Fuldar-Mercer.
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